Around this time, my coworkers were pushing GitHub Copilot within Visual Studio Code as a coding aid, particularly around then-new Claude Sonnet 4.5. For my data science work, Sonnet 4.5 in Copilot was not helpful and tended to create overly verbose Jupyter Notebooks so I was not impressed. However, in November, Google then released Nano Banana Pro which necessitated an immediate update to gemimg for compatibility with the model. After experimenting with Nano Banana Pro, I discovered that the model can create images with arbitrary grids (e.g. 2x2, 3x2) as an extremely practical workflow, so I quickly wrote a spec to implement support and also slice each subimage out of it to save individually. I knew this workflow is relatively simple-but-tedious to implement using Pillow shenanigans, so I felt safe enough to ask Copilot to Create a grid.py file that implements the Grid class as described in issue #15, and it did just that although with some errors in areas not mentioned in the spec (e.g. mixing row/column order) but they were easily fixed with more specific prompting. Even accounting for handling errors, that’s enough of a material productivity gain to be more optimistic of agent capabilities, but not nearly enough to become an AI hypester.
To be fair, much of that is by design. DTF St. Louis wants to keep viewers in the dark about its central investigation throughout its run. Unfortunately, that means dragging the mystery out, especially when it comes down to Homer and Plumb's investigation.
。爱思助手下载最新版本是该领域的重要参考
Фото: Patrick Pleul/dpa (Photo by Patrick Pleul/ Picture alliance via Getty Images
FT Edit: Access on iOS and web
结合现场观感，今年 S26 Ultra 共计 6 款配色中，「映雪白」、「浅云蓝」和专属色「绯霞金」的效果都非常不错，调色很有格调。